Pandas Profiling Report

Dataset statistics

Number of variables	21
Number of observations	106574
Missing cells	667732
Missing cells (%)	29.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	15.7 MiB
Average record size in memory	154.1 B

Variable types

Numeric	8
Categorical	8
DateTime	2
Unsupported	3

Warnings

`composer` has a high cardinality: 505 distinct values	High cardinality
`information` has a high cardinality: 1586 distinct values	High cardinality
`license` has a high cardinality: 113 distinct values	High cardinality
`lyricist` has a high cardinality: 66 distinct values	High cardinality
`publisher` has a high cardinality: 135 distinct values	High cardinality
`title` has a high cardinality: 94986 distinct values	High cardinality
`composer` has 102904 (96.6%) missing values	Missing
`date_recorded` has 100415 (94.2%) missing values	Missing
`genre_top` has 56976 (53.5%) missing values	Missing
`information` has 104225 (97.8%) missing values	Missing
`language_code` has 91550 (85.9%) missing values	Missing
`lyricist` has 106263 (99.7%) missing values	Missing
`publisher` has 105311 (98.8%) missing values	Missing
`comments` is highly skewed (γ1 = 38.21727055)	Skewed
`favorites` is highly skewed (γ1 = 33.98804676)	Skewed
`interest` is highly skewed (γ1 = 81.71473762)	Skewed
`listens` is highly skewed (γ1 = 24.49991789)	Skewed
`track_id` has unique values	Unique
`genres` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`genres_all` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`tags` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`comments` has 104423 (98.0%) zeros	Zeros
`favorites` has 41979 (39.4%) zeros	Zeros
`number` has 7894 (7.4%) zeros	Zeros

Reproduction

Analysis started	2021-02-20 09:12:28.237177
Analysis finished	2021-02-20 09:12:44.121188
Duration	15.88 seconds
Software version	pandas-profiling v2.10.1
Download configuration	config.yaml

track_id
Real number (ℝ_≥0)

UNIQUE

Distinct	106574
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	79442.63744
Minimum	2
Maximum	155320
Zeros	0
Zeros (%)	0.0%
Memory size	832.7 KiB

Quantile statistics

Minimum	2
5-th percentile	10100.65
Q1	40820.25
median	78983.5
Q3	119422.75
95-th percentile	147481.85
Maximum	155320
Range	155318
Interquartile range (IQR)	78602.5

Descriptive statistics

Standard deviation	44704.39838
Coefficient of variation (CV)	0.5627255064
Kurtosis	-1.233487999
Mean	79442.63744
Median Absolute Deviation (MAD)	39365
Skewness	-0.02179694186
Sum	8466519642
Variance	1998483235
Monotocity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4094	1	< 0.1%
83330	1	< 0.1%
152288	1	< 0.1%
154337	1	< 0.1%
148194	1	< 0.1%
137961	1	< 0.1%
131818	1	< 0.1%
133867	1	< 0.1%
146157	1	< 0.1%
142063	1	< 0.1%
Other values (106564)	106564	> 99.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	< 0.1%
3	1	< 0.1%
5	1	< 0.1%
10	1	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
155320	1	< 0.1%
155319	1	< 0.1%
155318	1	< 0.1%
155317	1	< 0.1%
155316	1	< 0.1%

bit_rate
Real number (ℝ)

Distinct	12054
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	263274.695
Minimum	-1
Maximum	448000
Zeros	0
Zeros (%)	0.0%
Memory size	832.7 KiB

Quantile statistics

Minimum	-1
5-th percentile	128000
Q1	192000
median	299914
Q3	320000
95-th percentile	320000
Maximum	448000
Range	448001
Interquartile range (IQR)	128000

Descriptive statistics

Standard deviation	67623.44358
Coefficient of variation (CV)	0.2568550828
Kurtosis	-0.1983005278
Mean	263274.695
Median Absolute Deviation (MAD)	20086
Skewness	-0.9044918057
Sum	2.805823735 × 10¹⁰
Variance	4572930122
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
320000	51918	48.7%
256000	17211	16.1%
192000	12876	12.1%
128000	6119	5.7%
160000	3859	3.6%
64000	648	0.6%
224000	338	0.3%
96000	238	0.2%
32000	112	0.1%
-1	105	0.1%
Other values (12044)	13150	12.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	105	0.1%
192	1	< 0.1%
8000	13	< 0.1%
24000	3	< 0.1%
31281	1	< 0.1%

Value	Count	Frequency (%)
448000	2	< 0.1%
416000	1	< 0.1%
334914	1	< 0.1%
333035	1	< 0.1%
330042	1	< 0.1%

comments
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	18
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.03162122094
Minimum	0
Maximum	37
Zeros	104423
Zeros (%)	98.0%
Memory size	832.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	37
Range	37
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.3219930288
Coefficient of variation (CV)	10.18281456
Kurtosis	3016.463852
Mean	0.03162122094
Median Absolute Deviation (MAD)	0
Skewness	38.21727055
Sum	3370
Variance	0.1036795106
Monotocity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
0	104423	98.0%
1	1508	1.4%
2	415	0.4%
3	133	0.1%
4	40	< 0.1%
5	19	< 0.1%
6	10	< 0.1%
7	5	< 0.1%
8	5	< 0.1%
9	4	< 0.1%
Other values (8)	12	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	104423	98.0%
1	1508	1.4%
2	415	0.4%
3	133	0.1%
4	40	< 0.1%

Value	Count	Frequency (%)
37	1	< 0.1%
30	1	< 0.1%
24	1	< 0.1%
19	1	< 0.1%
16	2	< 0.1%

composer
Categorical

HIGH CARDINALITY
MISSING

Distinct	505
Distinct (%)	13.8%
Missing	102904
Missing (%)	96.6%
Memory size	832.7 KiB

konstantin trokai	541
Chad Crouch	465
J.S. Bach	346
konstantin trokay	223
Chris Zabriskie	89
Other values (500)	2006

Length

Max length	94
Median length	14
Mean length	15.13950954
Min length	1

Characters and Unicode

Total characters	55562
Distinct characters	91
Distinct categories	9 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	293 ?
Unique (%)	8.0%

Sample

1st row	Kurt Vile
2nd row	Arc and Sender
3rd row	Arc and Sender
4th row	James Squeaky
5th row	James Squeaky

Value	Count	Frequency (%)
konstantin trokai	541	0.5%
Chad Crouch	465	0.4%
J.S. Bach	346	0.3%
konstantin trokay	223	0.2%
Chris Zabriskie	89	0.1%
Jared C. Balogh	85	0.1%
Shadow Entity Wizard	69	0.1%
Eddie Palmer	48	< 0.1%
Franz Joseph Haydn	44	< 0.1%
Apache Tomcat	44	< 0.1%
Other values (495)	1716	1.6%
(Missing)	102904	96.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
konstantin	798	9.3%
trokai	577	6.7%
crouch	465	5.4%
chad	465	5.4%
bach	348	4.0%
j.s	346	4.0%
trokay	227	2.6%
palmer	123	1.4%
eddie	123	1.4%
	109	1.3%
Other values (949)	5012	58.3%

Most occurring characters

Value	Count	Frequency (%)
a	5456	9.8%
	4956	8.9%
n	4214	7.6%
o	3681	6.6%
r	3648	6.6%
t	3555	6.4%
i	3154	5.7%
e	2841	5.1%
h	2237	4.0%
s	2145	3.9%
Other values (81)	19675	35.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	41634	74.9%
Uppercase Letter	7196	13.0%
Space Separator	4956	8.9%
Other Punctuation	1279	2.3%
Decimal Number	248	0.4%
Dash Punctuation	90	0.2%
Open Punctuation	66	0.1%
Close Punctuation	66	0.1%
Math Symbol	27	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	5456	13.1%
n	4214	10.1%
o	3681	8.8%
r	3648	8.8%
t	3555	8.5%
i	3154	7.6%
e	2841	6.8%
h	2237	5.4%
s	2145	5.2%
k	2027	4.9%
Other values (28)	8676	20.8%

Value	Count	Frequency (%)
C	1448	20.1%
J	718	10.0%
B	709	9.9%
S	676	9.4%
M	405	5.6%
A	386	5.4%
T	295	4.1%
E	285	4.0%
P	255	3.5%
D	229	3.2%
Other values (18)	1790	24.9%

Value	Count	Frequency (%)
.	966	75.5%
,	146	11.4%
/	81	6.3%
&	36	2.8%
;	25	2.0%
!	9	0.7%
:	7	0.5%
'	5	0.4%
?	2	0.2%
"	2	0.2%

Value	Count	Frequency (%)
0	77	31.0%
2	56	22.6%
1	50	20.2%
3	16	6.5%
9	14	5.6%
7	14	5.6%
5	7	2.8%
8	5	2.0%
4	5	2.0%
6	4	1.6%

Value	Count	Frequency (%)
	4956	100.0%

Value	Count	Frequency (%)
+	27	100.0%

Value	Count	Frequency (%)
-	90	100.0%

Value	Count	Frequency (%)
(	66	100.0%

Value	Count	Frequency (%)
)	66	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	48830	87.9%
Common	6732	12.1%

Most frequent character per script

Value	Count	Frequency (%)
a	5456	11.2%
n	4214	8.6%
o	3681	7.5%
r	3648	7.5%
t	3555	7.3%
i	3154	6.5%
e	2841	5.8%
h	2237	4.6%
s	2145	4.4%
k	2027	4.2%
Other values (56)	15872	32.5%

Value	Count	Frequency (%)
	4956	73.6%
.	966	14.3%
,	146	2.2%
-	90	1.3%
/	81	1.2%
0	77	1.1%
(	66	1.0%
)	66	1.0%
2	56	0.8%
1	50	0.7%
Other values (15)	178	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	55378	99.7%
None	184	0.3%

Most frequent character per block

Value	Count	Frequency (%)
a	5456	9.9%
	4956	8.9%
n	4214	7.6%
o	3681	6.6%
r	3648	6.6%
t	3555	6.4%
i	3154	5.7%
e	2841	5.1%
h	2237	4.0%
s	2145	3.9%
Other values (66)	19491	35.2%

Value	Count	Frequency (%)
ı	42	22.8%
ş	31	16.8%
ü	20	10.9%
İ	20	10.9%
Ö	19	10.3%
ö	18	9.8%
ç	11	6.0%
á	7	3.8%
é	6	3.3%
ã	5	2.7%
Other values (5)	5	2.7%

date_created
Date

Distinct	86169
Distinct (%)	80.9%
Missing	0
Missing (%)	0.0%
Memory size	832.7 KiB

Minimum	2008-11-25 17:49:06
Maximum	2017-03-30 15:23:39

Histogram

Histogram with fixed size bins (bins=50)

date_recorded
Date

MISSING

Distinct	773
Distinct (%)	12.6%
Missing	100415
Missing (%)	94.2%
Memory size	832.7 KiB

Minimum	1896-01-01 00:00:00
Maximum	2017-03-14 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

duration
Real number (ℝ_≥0)

Distinct	2246
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	277.8491002
Minimum	0
Maximum	18350
Zeros	16
Zeros (%)	< 0.1%
Memory size	832.7 KiB

Quantile statistics

Minimum	0
5-th percentile	60
Q1	149
median	216
Q3	305
95-th percentile	634.35
Maximum	18350
Range	18350
Interquartile range (IQR)	156

Descriptive statistics

Standard deviation	305.5185533
Coefficient of variation (CV)	1.099584462
Kurtosis	202.1627761
Mean	277.8491002
Median Absolute Deviation (MAD)	76
Skewness	8.414445548
Sum	29611490
Variance	93341.58644
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
180	595	0.6%
192	520	0.5%
240	510	0.5%
60	506	0.5%
182	472	0.4%
184	472	0.4%
210	464	0.4%
208	446	0.4%
186	440	0.4%
216	440	0.4%
Other values (2236)	101709	95.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	16	< 0.1%
1	10	< 0.1%
2	13	< 0.1%
3	33	< 0.1%
4	46	< 0.1%

Value	Count	Frequency (%)
18350	1	< 0.1%
11030	1	< 0.1%
11016	1	< 0.1%
10999	1	< 0.1%
7372	1	< 0.1%

favorites
Real number (ℝ_≥0)

SKEWED
ZEROS

Distinct	243
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.182521065
Minimum	0
Maximum	1482
Zeros	41979
Zeros (%)	39.4%
Memory size	832.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	12
Maximum	1482
Range	1482
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	13.51382047
Coefficient of variation (CV)	4.246262693
Kurtosis	2228.349417
Mean	3.182521065
Median Absolute Deviation (MAD)	1
Skewness	33.98804676
Sum	339174
Variance	182.6233436
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	41979	39.4%
1	23666	22.2%
2	12488	11.7%
3	7324	6.9%
4	4631	4.3%
5	3138	2.9%
6	2389	2.2%
7	1727	1.6%
8	1317	1.2%
9	976	0.9%
Other values (233)	6939	6.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	41979	39.4%
1	23666	22.2%
2	12488	11.7%
3	7324	6.9%
4	4631	4.3%

Value	Count	Frequency (%)
1482	1	< 0.1%
961	1	< 0.1%
796	1	< 0.1%
765	1	< 0.1%
633	1	< 0.1%

genre_top
Categorical

MISSING

Distinct	16
Distinct (%)	< 0.1%
Missing	56976
Missing (%)	53.5%
Memory size	105.0 KiB

Rock	14182
Experimental	10608
Electronic	9372
Hip-Hop	3552
Folk	2803
Other values (11)	9081

Length

Max length	19
Median length	9
Mean length	7.941509738
Min length	3

Characters and Unicode

Total characters	393883
Distinct characters	35
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Hip-Hop
2nd row	Hip-Hop
3rd row	Hip-Hop
4th row	Pop
5th row	Hip-Hop

Value	Count	Frequency (%)
Rock	14182	13.3%
Experimental	10608	10.0%
Electronic	9372	8.8%
Hip-Hop	3552	3.3%
Folk	2803	2.6%
Pop	2332	2.2%
Instrumental	2079	2.0%
International	1389	1.3%
Classical	1230	1.2%
Jazz	571	0.5%
Other values (6)	1480	1.4%
(Missing)	56976	53.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
rock	14182	28.0%
experimental	10608	20.9%
electronic	9372	18.5%
hip-hop	3552	7.0%
folk	2803	5.5%
pop	2332	4.6%
instrumental	2079	4.1%
international	1389	2.7%
classical	1230	2.4%
jazz	571	1.1%
Other values (9)	2612	5.1%

Most occurring characters

Value	Count	Frequency (%)
e	35167	8.9%
o	34976	8.9%
c	34710	8.8%
l	29550	7.5%
n	29145	7.4%
i	27861	7.1%
t	27688	7.0%
r	24196	6.1%
p	20467	5.2%
E	20004	5.1%
Other values (25)	110119	28.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	333284	84.6%
Uppercase Letter	54632	13.9%
Dash Punctuation	4281	1.1%
Space Separator	1132	0.3%
Other Punctuation	554	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	35167	10.6%
o	34976	10.5%
c	34710	10.4%
l	29550	8.9%
n	29145	8.7%
i	27861	8.4%
t	27688	8.3%
r	24196	7.3%
p	20467	6.1%
a	18520	5.6%
Other values (9)	51004	15.3%

Value	Count	Frequency (%)
E	20004	36.6%
R	14357	26.3%
H	7658	14.0%
I	3468	6.3%
F	2803	5.1%
P	2332	4.3%
C	1424	2.6%
S	598	1.1%
J	571	1.0%
O	554	1.0%
Other values (3)	863	1.6%

Value	Count	Frequency (%)
-	4281	100.0%

Value	Count	Frequency (%)
	1132	100.0%

Value	Count	Frequency (%)
/	554	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	387916	98.5%
Common	5967	1.5%

Most frequent character per script

Value	Count	Frequency (%)
e	35167	9.1%
o	34976	9.0%
c	34710	8.9%
l	29550	7.6%
n	29145	7.5%
i	27861	7.2%
t	27688	7.1%
r	24196	6.2%
p	20467	5.3%
E	20004	5.2%
Other values (22)	104152	26.8%

Value	Count	Frequency (%)
-	4281	71.7%
	1132	19.0%
/	554	9.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	393883	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	35167	8.9%
o	34976	8.9%
c	34710	8.8%
l	29550	7.5%
n	29145	7.4%
i	27861	7.1%
t	27688	7.0%
r	24196	6.1%
p	20467	5.2%
E	20004	5.1%
Other values (25)	110119	28.0%

genres
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	832.7 KiB

genres_all
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	832.7 KiB

information
Categorical

HIGH CARDINALITY
MISSING

Distinct	1586
Distinct (%)	67.5%
Missing	104225
Missing (%)	97.8%
Memory size	832.7 KiB

<p><a href="http://www.myspace.com/theshamblers">The Shamblers</a> shambled down from Bay Ridge, Brooklyn to grace us with a live performance last Wednesday.  Led by husband/wife team of Peter and Jess Speer, and ably augmented by drummer Ben Truesdale, the Shamblers brought their blend of Beat Happening/Home Blitz pop roughness plus classic garage punk action with lyrics to match.  More info at <a href="http://www.colonialrecordingsusa.com/">their label site</a> (where you can purchase their 100-song mp3 album) and <a href="http://theshamblers.blogspot.com/">their blog</a>.  The full set, plus two FCC-unfriendly bonus tracks found below.  Engineered by Trent Wolbe.  You've been shambled.</p> <p><a href="http://blog.wfmu.org/freeform/2008/07/the-shamblers-l.html" target="_blank">http://blog.wfmu.org/freeform/2008/07/the-shamblers-l.html</a></p> <p><a href="http://www.wfmu.org/playlists/shows/27951" target="_blank">http://www.wfmu.org/playlists/shows/27951</a></p>	22
Produced in May 2016.	20
<div>We made our music available under the Creative Common license BY, but would like to add the non existing code ‘NAD'</div><p>NAD stands for "No Audio Derivates’ In other words you can freely use (part of) our tracks in a film or video, but cannot remix or re-use part of our tracks in other musical work without our permission. We’d appreciate it if you could let us know where/when you used our music. <br><br>As an extra service we can make custom edits or mixes for you. You can choose fragments, loops, solo-ed instruments, remixes, etc.<br>Please feel free to contact us if you want to know more about using and/or customising our music in your project.<span class="im"><br></span></p>	18
<p><em>by Brian Turner via <a href="http://blog.wfmu.org/freeform/2008/05/negative-approa.html" target="_blank">WFMU's Beware of the Blog!</a></em></p> <p>Back in the late 80's I walked into the Ritz in the middle of the Laughing Hyenas and watched in disbelief while singer John Brannon churned out one hell of a gutteral yowl for the duration of a whole set in almost inhuman fashion. The Hyenas channelled extreme rage through total Stooge/primal Alice Cooper mode with a somewhat bluesy Birthday Party swagger, and eventually I learned he fronted Detroit's hardcore godfathers <a href="http://www.myspace.com/negativeapproach">Negative Approach</a> in the early part of that decade. Later it all came into focus: NA were very much first-wave and represented Detroit as one of the pockets dotted around the USA (see Black Flag, Minor Threat, Bad Brains), with Brannon & company consolidating the midwest brotherhood with the Necros and Meatmen and eventually moving into early singles via Corey Rusk's Touch and Go label (originally a zine, where yes, people learned of the underground way before the internet). As far as first-wave HC goes, Negative Approach were among the most vicious feedback-pummel units going. Songs careened by in seconds, were pretty much politics-free, focusing on sheer vocal/instrumental destruction. They were inspired by not only their American peers, but UK groundbreakers like Discharge (who, like, NA, were big Stooges fans). In 2006 they returned to the stage at the Touch and Go label anniversary, with Brannon and original drummer Chris Moore augmented by Ron Sakowski on bass and Harold Richardson on guitar, reportedly wiped the place down. On the day of their recent Southpaw show, they amazingly agreed in a day's notice to come down to <a href="http://www.wfmu.org/playlists/BT">my show on FMU</a>, plugged in and turned us to mush with 16 songs in 25 minutes.</p> <p>Negative Approach live on WFMU 5/14/08 (broadcast 5/27). Host: Brian Turner, engineer: Richard Rusinkovich (edited-for-FCC version appeared over air). Co-interviewer: Tony Rettman. Ken Freedman shot video of "Hypocrite" and "Dead Stop".</p> <p>Set list: Lost Cause / Can't Tell No One / Sick of Talk / Hypocrite / Dead Stop / Whatever I Do / Tied Down / Evacuate / Your Mistake / Why Be Something That You're Not / Pressure / Fair Warning / Nothing / Borstal Breakout (Sham 69) / Never Surrender (Blitz) /Solitary Confinement.</p> <p>http://www.wfmu.org/playlists/shows/27384</p> <p>Engineered by Richard Rusincovitch<br /></p>	18
<p><span style="margin: 0pt 5px; float: left;">Engineered by Jason Engle, released on  double cdr  by Dan Deacon in 2004. http://creativecommons.org/licenses/by-nc-sa/3.0</span></p>	17
Other values (1581)	2254

Length

Max length	13937
Median length	238
Mean length	741.4108131
Min length	2

Characters and Unicode

Total characters	1741574
Distinct characters	205
Distinct categories	21 ?
Distinct scripts	5 ?
Distinct blocks	11 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1420 ?
Unique (%)	60.5%

Sample

1st row	<p>Recorded live in downtown Los Angeles at the Lace Gallery, April 27, 1978.</p>
2nd row	<p>Recorded live in downtown Los Angeles at the Lace Gallery, April 27, 1978.</p>
3rd row	<p>Unreleased</p>
4th row	<p>Unreleased</p>
5th row	<p><span class="line2">performed by: Ariel Pink (electric guitar, bass, keyboard, drums(sic), voc) recorded on a yamaha MT8X multitrack recorder at the kingsley house, january, 2002. </span></p>

Value	Count	Frequency (%)
<p><a href="http://www.myspace.com/theshamblers">The Shamblers</a> shambled down from Bay Ridge, Brooklyn to grace us with a live performance last Wednesday.  Led by husband/wife team of Peter and Jess Speer, and ably augmented by drummer Ben Truesdale, the Shamblers brought their blend of Beat Happening/Home Blitz pop roughness plus classic garage punk action with lyrics to match.  More info at <a href="http://www.colonialrecordingsusa.com/">their label site</a> (where you can purchase their 100-song mp3 album) and <a href="http://theshamblers.blogspot.com/">their blog</a>.  The full set, plus two FCC-unfriendly bonus tracks found below.  Engineered by Trent Wolbe.  You've been shambled.</p> <p><a href="http://blog.wfmu.org/freeform/2008/07/the-shamblers-l.html" target="_blank">http://blog.wfmu.org/freeform/2008/07/the-shamblers-l.html</a></p> <p><a href="http://www.wfmu.org/playlists/shows/27951" target="_blank">http://www.wfmu.org/playlists/shows/27951</a></p>	22	< 0.1%
Produced in May 2016.	20	< 0.1%
<div>We made our music available under the Creative Common license BY, but would like to add the non existing code ‘NAD'</div><p>NAD stands for "No Audio Derivates’ In other words you can freely use (part of) our tracks in a film or video, but cannot remix or re-use part of our tracks in other musical work without our permission. We’d appreciate it if you could let us know where/when you used our music. <br><br>As an extra service we can make custom edits or mixes for you. You can choose fragments, loops, solo-ed instruments, remixes, etc.<br>Please feel free to contact us if you want to know more about using and/or customising our music in your project.<span class="im"><br></span></p>	18	< 0.1%
<p><em>by Brian Turner via <a href="http://blog.wfmu.org/freeform/2008/05/negative-approa.html" target="_blank">WFMU's Beware of the Blog!</a></em></p> <p>Back in the late 80's I walked into the Ritz in the middle of the Laughing Hyenas and watched in disbelief while singer John Brannon churned out one hell of a gutteral yowl for the duration of a whole set in almost inhuman fashion. The Hyenas channelled extreme rage through total Stooge/primal Alice Cooper mode with a somewhat bluesy Birthday Party swagger, and eventually I learned he fronted Detroit's hardcore godfathers <a href="http://www.myspace.com/negativeapproach">Negative Approach</a> in the early part of that decade. Later it all came into focus: NA were very much first-wave and represented Detroit as one of the pockets dotted around the USA (see Black Flag, Minor Threat, Bad Brains), with Brannon & company consolidating the midwest brotherhood with the Necros and Meatmen and eventually moving into early singles via Corey Rusk's Touch and Go label (originally a zine, where yes, people learned of the underground way before the internet). As far as first-wave HC goes, Negative Approach were among the most vicious feedback-pummel units going. Songs careened by in seconds, were pretty much politics-free, focusing on sheer vocal/instrumental destruction. They were inspired by not only their American peers, but UK groundbreakers like Discharge (who, like, NA, were big Stooges fans). In 2006 they returned to the stage at the Touch and Go label anniversary, with Brannon and original drummer Chris Moore augmented by Ron Sakowski on bass and Harold Richardson on guitar, reportedly wiped the place down. On the day of their recent Southpaw show, they amazingly agreed in a day's notice to come down to <a href="http://www.wfmu.org/playlists/BT">my show on FMU</a>, plugged in and turned us to mush with 16 songs in 25 minutes.</p> <p>Negative Approach live on WFMU 5/14/08 (broadcast 5/27). Host: Brian Turner, engineer: Richard Rusinkovich (edited-for-FCC version appeared over air). Co-interviewer: Tony Rettman. Ken Freedman shot video of "Hypocrite" and "Dead Stop".</p> <p>Set list: Lost Cause / Can't Tell No One / Sick of Talk / Hypocrite / Dead Stop / Whatever I Do / Tied Down / Evacuate / Your Mistake / Why Be Something That You're Not / Pressure / Fair Warning / Nothing / Borstal Breakout (Sham 69) / Never Surrender (Blitz) /Solitary Confinement.</p> <p>http://www.wfmu.org/playlists/shows/27384</p> <p>Engineered by Richard Rusincovitch<br /></p>	18	< 0.1%
<p><span style="margin: 0pt 5px; float: left;">Engineered by Jason Engle, released on  double cdr  by Dan Deacon in 2004. http://creativecommons.org/licenses/by-nc-sa/3.0</span></p>	17	< 0.1%
<p>Eng. Unknown</p>	14	< 0.1%
<p><span style="color: #2c2c2c; font-family: 'Droid Serif', Georgia, 'Times New Roman', Times, serif; font-size: 12px; line-height: 18px;">subject to constant change at any given moment.</span></p>	14	< 0.1%
<p>Bloomfield, New Jersey's very own SUX stops by the WFMU studios for a live set of some blistering hardcore on Pat Duncan's Show, April 25, 2008.</p> <p>Engineered by James Theesfeld.</p> <p><a href="http://www.wfmu.org/playlists/shows/27030" target="_blank">http://www.wfmu.org/playlists/shows/27030</a></p>	14	< 0.1%
<p><span style="font-family: Verdana,Geneva,Arial; font-size: xx-small;">http://wfmu.org/playlists/shows/29505 <br /></span></p>	13	< 0.1%
<p>Blend a bit of post-apocalyptic French cabaret and Americana heard at a possessed carnival and you get The Snow, a folk-pop band with elements of classical, punk, and rock. The overall mood of The Snow's tunes is of a sweet serenade taking occasional turns into a hall of mirrors, and they have been likened to Fleetwood Mac sitting around the pool trading songs with M. Ward, Cat Power, and Iron and Wine.</p> <p>Engineered by Irene Trudel.</p> <p><a href="http://www.wfmu.org/playlists/shows/27228" target="_blank">http://www.wfmu.org/playlists/shows/27228</a></p>	13	< 0.1%
Other values (1576)	2186	2.1%
(Missing)	104225	97.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
the	10470	4.4%
a	6786	2.8%
and	6299	2.6%
of	5810	2.4%
to	4956	2.1%
in	4316	1.8%
	2621	1.1%
is	2419	1.0%
on	2060	0.9%
that	2035	0.9%
Other values (24212)	191502	80.0%

Most occurring characters

Value	Count	Frequency (%)
	231145	13.3%
e	140531	8.1%
a	107508	6.2%
t	102874	5.9%
o	92013	5.3%
n	91952	5.3%
s	91036	5.2%
i	86497	5.0%
r	82358	4.7%
l	55705	3.2%
Other values (195)	659955	37.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1253304	72.0%
Space Separator	232294	13.3%
Other Punctuation	88307	5.1%
Uppercase Letter	61837	3.6%
Math Symbol	52351	3.0%
Decimal Number	22444	1.3%
Dash Punctuation	12919	0.7%
Control	9240	0.5%
Final Punctuation	2630	0.2%
Close Punctuation	2056	0.1%
Other values (11)	4192	0.2%

Most frequent character per category

Value	Count	Frequency (%)
e	140531	11.2%
a	107508	8.6%
t	102874	8.2%
o	92013	7.3%
n	91952	7.3%
s	91036	7.3%
i	86497	6.9%
r	82358	6.6%
l	55705	4.4%
h	53660	4.3%
Other values (60)	349170	27.9%

Value	Count	Frequency (%)
T	5226	8.5%
S	4896	7.9%
I	4718	7.6%
A	4526	7.3%
M	4343	7.0%
C	3521	5.7%
B	3338	5.4%
N	2880	4.7%
D	2822	4.6%
F	2688	4.3%
Other values (24)	22879	37.0%

Value	Count	Frequency (%)
し	3	8.8%
と	2	5.9%
も	2	5.9%
ね	2	5.9%
永	1	2.9%
見	1	2.9%
行	1	2.9%
崇	1	2.9%
世	1	2.9%
の	1	2.9%
Other values (19)	19	55.9%

Value	Count	Frequency (%)
/	25623	29.0%
.	16041	18.2%
,	15222	17.2%
"	12589	14.3%
:	7835	8.9%
;	5209	5.9%
'	2057	2.3%
&	1831	2.1%
?	603	0.7%
!	539	0.6%
Other values (11)	758	0.9%

Value	Count	Frequency (%)
0	4894	21.8%
1	3682	16.4%
2	3102	13.8%
9	2024	9.0%
3	1890	8.4%
8	1772	7.9%
5	1441	6.4%
7	1306	5.8%
4	1248	5.6%
6	1085	4.8%

Value	Count	Frequency (%)
<	23112	44.1%
>	23112	44.1%
=	5959	11.4%
+	117	0.2%
\|	31	0.1%
~	20	< 0.1%

Value	Count	Frequency (%)
°	3	25.0%
©	3	25.0%
■	3	25.0%
♪	2	16.7%
✈	1	8.3%

Value	Count	Frequency (%)
	231145	99.5%
	1144	0.5%
	5	< 0.1%

Value	Count	Frequency (%)
	9196	99.5%
	43	0.5%
	1	< 0.1%

Value	Count	Frequency (%)
-	12500	96.8%
–	393	3.0%
—	26	0.2%

Value	Count	Frequency (%)
’	1772	67.4%
”	856	32.5%
»	2	0.1%

Value	Count	Frequency (%)
“	840	88.8%
‘	104	11.0%
«	2	0.2%

Value	Count	Frequency (%)
´	4	57.1%
`	2	28.6%
^	1	14.3%

Value	Count	Frequency (%)
(	1938	96.2%
[	77	3.8%

Value	Count	Frequency (%)
)	1979	96.3%
]	77	3.7%

Value	Count	Frequency (%)
$	7	87.5%
£	1	12.5%

Value	Count	Frequency (%)
ˈ	4	50.0%
ˌ	4	50.0%

Value	Count	Frequency (%)
_	1151	100.0%

Value	Count	Frequency (%)
	7	100.0%

Value	Count	Frequency (%)
	3	100.0%

Value	Count	Frequency (%)
️	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1315141	75.5%
Common	426398	24.5%
Hiragana	24	< 0.1%
Han	10	< 0.1%
Inherited	1	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	140531	10.7%
a	107508	8.2%
t	102874	7.8%
o	92013	7.0%
n	91952	7.0%
s	91036	6.9%
i	86497	6.6%
r	82358	6.3%
l	55705	4.2%
h	53660	4.1%
Other values (94)	411007	31.3%

Value	Count	Frequency (%)
	231145	54.2%
/	25623	6.0%
<	23112	5.4%
>	23112	5.4%
.	16041	3.8%
,	15222	3.6%
"	12589	3.0%
-	12500	2.9%
	9196	2.2%
:	7835	1.8%
Other values (61)	50023	11.7%

Value	Count	Frequency (%)
し	3	12.5%
と	2	8.3%
も	2	8.3%
ね	2	8.3%
の	1	4.2%
を	1	4.2%
や	1	4.2%
さ	1	4.2%
お	1	4.2%
へ	1	4.2%
Other values (9)	9	37.5%

Value	Count	Frequency (%)
永	1	10.0%
見	1	10.0%
行	1	10.0%
崇	1	10.0%
世	1	10.0%
中	1	10.0%
憂	1	10.0%
飛	1	10.0%
立	1	10.0%
鳥	1	10.0%

Value	Count	Frequency (%)
️	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1735843	99.7%
Punctuation	4155	0.2%
None	1513	0.1%
Hiragana	24	< 0.1%
Latin Ext Additional	14	< 0.1%
CJK	10	< 0.1%
Modifier Letters	8	< 0.1%
Geometric Shapes	3	< 0.1%
Misc Symbols	2	< 0.1%
Dingbats	1	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	231145	13.3%
e	140531	8.1%
a	107508	6.2%
t	102874	5.9%
o	92013	5.3%
n	91952	5.3%
s	91036	5.2%
i	86497	5.0%
r	82358	4.7%
l	55705	3.2%
Other values (85)	654224	37.7%

Value	Count	Frequency (%)
	1144	75.6%
é	80	5.3%
ï	20	1.3%
í	20	1.3%
á	17	1.1%
ó	16	1.1%
ö	16	1.1%
ä	15	1.0%
à	12	0.8%
ü	11	0.7%
Other values (49)	162	10.7%

Value	Count	Frequency (%)
’	1772	42.6%
”	856	20.6%
“	840	20.2%
–	393	9.5%
…	140	3.4%
‘	104	2.5%
—	26	0.6%
″	8	0.2%
	7	0.2%
•	3	0.1%
Other values (2)	6	0.1%

Value	Count	Frequency (%)
永	1	10.0%
見	1	10.0%
行	1	10.0%
崇	1	10.0%
世	1	10.0%
中	1	10.0%
憂	1	10.0%
飛	1	10.0%
立	1	10.0%
鳥	1	10.0%

Value	Count	Frequency (%)
ệ	11	78.6%
ứ	1	7.1%
ử	1	7.1%
ạ	1	7.1%

Value	Count	Frequency (%)
し	3	12.5%
と	2	8.3%
も	2	8.3%
ね	2	8.3%
の	1	4.2%
を	1	4.2%
や	1	4.2%
さ	1	4.2%
お	1	4.2%
へ	1	4.2%
Other values (9)	9	37.5%

Value	Count	Frequency (%)
♪	2	100.0%

Value	Count	Frequency (%)
■	3	100.0%

Value	Count	Frequency (%)
ˈ	4	50.0%
ˌ	4	50.0%

Value	Count	Frequency (%)
✈	1	100.0%

Value	Count	Frequency (%)
️	1	100.0%

interest
Real number (ℝ_≥0)

SKEWED

Distinct	14396
Distinct (%)	13.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3541.310207
Minimum	2
Maximum	3293557
Zeros	0
Zeros (%)	0.0%
Memory size	832.7 KiB

Quantile statistics

Minimum	2
5-th percentile	193
Q1	599
median	1314
Q3	3059
95-th percentile	11258.35
Maximum	3293557
Range	3293555
Interquartile range (IQR)	2460

Descriptive statistics

Standard deviation	19017.43089
Coefficient of variation (CV)	5.370168039
Kurtosis	10854.36407
Mean	3541.310207
Median Absolute Deviation (MAD)	896
Skewness	81.71473762
Sum	377411594
Variance	361662677.7
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
320	74	0.1%
302	71	0.1%
326	71	0.1%
503	71	0.1%
342	71	0.1%
324	71	0.1%
469	71	0.1%
584	70	0.1%
365	70	0.1%
524	69	0.1%
Other values (14386)	105865	99.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2	1	< 0.1%
3	4	< 0.1%
4	11	< 0.1%
5	8	< 0.1%
6	9	< 0.1%

Value	Count	Frequency (%)
3293557	1	< 0.1%
1991344	1	< 0.1%
1563555	1	< 0.1%
1371526	1	< 0.1%
1314156	1	< 0.1%

language_code
Categorical

MISSING

Distinct	44
Distinct (%)	0.3%
Missing	91550
Missing (%)	85.9%
Memory size	832.7 KiB

en	14255
es	204
fr	191
pt	81
de	68
Other values (39)	225

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	30048
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	0.1%

Sample

1st row	en
2nd row	en
3rd row	en
4th row	en
5th row	en

Value	Count	Frequency (%)
en	14255	13.4%
es	204	0.2%
fr	191	0.2%
pt	81	0.1%
de	68	0.1%
ru	30	< 0.1%
it	28	< 0.1%
tr	25	< 0.1%
sr	23	< 0.1%
he	12	< 0.1%
Other values (34)	107	0.1%
(Missing)	91550	85.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
en	14255	94.9%
es	204	1.4%
fr	191	1.3%
pt	81	0.5%
de	68	0.5%
ru	30	0.2%
it	28	0.2%
tr	25	0.2%
sr	23	0.2%
pl	12	0.1%
Other values (34)	107	0.7%

Most occurring characters

Value	Count	Frequency (%)
e	14561	48.5%
n	14261	47.5%
r	281	0.9%
s	241	0.8%
f	197	0.7%
t	139	0.5%
p	93	0.3%
d	71	0.2%
i	42	0.1%
u	34	0.1%
Other values (14)	128	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	30048	100.0%

Most frequent character per category

Value	Count	Frequency (%)
e	14561	48.5%
n	14261	47.5%
r	281	0.9%
s	241	0.8%
f	197	0.7%
t	139	0.5%
p	93	0.3%
d	71	0.2%
i	42	0.1%
u	34	0.1%
Other values (14)	128	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	30048	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	14561	48.5%
n	14261	47.5%
r	281	0.9%
s	241	0.8%
f	197	0.7%
t	139	0.5%
p	93	0.3%
d	71	0.2%
i	42	0.1%
u	34	0.1%
Other values (14)	128	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30048	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	14561	48.5%
n	14261	47.5%
r	281	0.9%
s	241	0.8%
f	197	0.7%
t	139	0.5%
p	93	0.3%
d	71	0.2%
i	42	0.1%
u	34	0.1%
Other values (14)	128	0.4%

license
Categorical

HIGH CARDINALITY

Distinct	113
Distinct (%)	0.1%
Missing	87
Missing (%)	0.1%
Memory size	110.1 KiB

Attribution-Noncommercial-Share Alike 3.0 United States	19250
Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International	17732
Attribution-NonCommercial-ShareAlike 3.0 International	15260
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	12133
Attribution-Noncommercial-No Derivative Works 3.0 United States	10584
Other values (108)	31528

Length

Max length	79
Median length	55
Mean length	53.17806868
Min length	9

Characters and Unicode

Total characters	5662773
Distinct characters	59
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	12 ?
Unique (%)	< 0.1%

Sample

1st row	Attribution-NonCommercial-ShareAlike 3.0 International
2nd row	Attribution-NonCommercial-ShareAlike 3.0 International
3rd row	Attribution-NonCommercial-ShareAlike 3.0 International
4th row	Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International
5th row	Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International

Value	Count	Frequency (%)
Attribution-Noncommercial-Share Alike 3.0 United States	19250	18.1%
Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International	17732	16.6%
Attribution-NonCommercial-ShareAlike 3.0 International	15260	14.3%
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	12133	11.4%
Attribution-Noncommercial-No Derivative Works 3.0 United States	10584	9.9%
Attribution-NonCommercial-ShareAlike	6907	6.5%
Attribution	4991	4.7%
Attribution-NonCommercial 3.0 International	3570	3.3%
Attribution-NonCommercial	3409	3.2%
Attribution-ShareAlike	1549	1.5%
Other values (103)	11102	10.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
3.0	71301	16.5%
international	38609	9.0%
states	31652	7.3%
united	31652	7.3%
attribution-noncommercial-noderivatives	30679	7.1%
attribution-noncommercial-sharealike	22495	5.2%
alike	21299	4.9%
attribution-noncommercial-share	21017	4.9%
music	18162	4.2%
sharing	17750	4.1%
Other values (86)	126451	29.3%

Most occurring characters

Value	Count	Frequency (%)
i	558932	9.9%
t	543600	9.6%
o	415468	7.3%
e	405561	7.2%
n	384755	6.8%
r	372763	6.6%
a	365030	6.4%
	325468	5.7%
m	216380	3.8%
l	183252	3.2%
Other values (49)	1891564	33.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4226909	74.6%
Uppercase Letter	625987	11.1%
Space Separator	325468	5.7%
Dash Punctuation	182830	3.2%
Decimal Number	176474	3.1%
Other Punctuation	89093	1.6%
Open Punctuation	18006	0.3%
Close Punctuation	18006	0.3%

Most frequent character per category

Value	Count	Frequency (%)
i	558932	13.2%
t	543600	12.9%
o	415468	9.8%
e	405561	9.6%
n	384755	9.1%
r	372763	8.8%
a	365030	8.6%
m	216380	5.1%
l	183252	4.3%
c	148408	3.5%
Other values (13)	632760	15.0%

Value	Count	Frequency (%)
A	151087	24.1%
N	137204	21.9%
S	96688	15.4%
C	88588	14.2%
D	43638	7.0%
I	38955	6.2%
U	33584	5.4%
M	18407	2.9%
W	11456	1.8%
P	1445	0.2%
Other values (12)	4935	0.8%

Value	Count	Frequency (%)
0	87890	49.8%
3	71301	40.4%
4	12505	7.1%
2	2591	1.5%
1	1410	0.8%
5	777	0.4%

Value	Count	Frequency (%)
.	87740	98.5%
:	918	1.0%
/	428	0.5%
&	7	< 0.1%

Value	Count	Frequency (%)
-	182830	100.0%

Value	Count	Frequency (%)
	325468	100.0%

Value	Count	Frequency (%)
(	18006	100.0%

Value	Count	Frequency (%)
)	18006	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4852896	85.7%
Common	809877	14.3%

Most frequent character per script

Value	Count	Frequency (%)
i	558932	11.5%
t	543600	11.2%
o	415468	8.6%
e	405561	8.4%
n	384755	7.9%
r	372763	7.7%
a	365030	7.5%
m	216380	4.5%
l	183252	3.8%
A	151087	3.1%
Other values (35)	1256068	25.9%

Value	Count	Frequency (%)
	325468	40.2%
-	182830	22.6%
0	87890	10.9%
.	87740	10.8%
3	71301	8.8%
(	18006	2.2%
)	18006	2.2%
4	12505	1.5%
2	2591	0.3%
1	1410	0.2%
Other values (4)	2130	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5662773	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	558932	9.9%
t	543600	9.6%
o	415468	7.3%
e	405561	7.2%
n	384755	6.8%
r	372763	6.6%
a	365030	6.4%
	325468	5.7%
m	216380	3.8%
l	183252	3.2%
Other values (49)	1891564	33.4%

listens
Real number (ℝ_≥0)

SKEWED

Distinct	12035
Distinct (%)	11.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2329.353548
Minimum	0
Maximum	543252
Zeros	1
Zeros (%)	< 0.1%
Memory size	832.7 KiB

Quantile statistics

Minimum	0
5-th percentile	79
Q1	292
median	764
Q3	2018
95-th percentile	8254.4
Maximum	543252
Range	543252
Interquartile range (IQR)	1726

Descriptive statistics

Standard deviation	8028.070647
Coefficient of variation (CV)	3.446480099
Kurtosis	1021.970761
Mean	2329.353548
Median Absolute Deviation (MAD)	583
Skewness	24.49991789
Sum	248248525
Variance	64449918.31
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
96	140	0.1%
97	136	0.1%
141	133	0.1%
112	130	0.1%
152	129	0.1%
114	126	0.1%
128	126	0.1%
106	126	0.1%
122	125	0.1%
123	125	0.1%
Other values (12025)	105278	98.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	3	< 0.1%
2	10	< 0.1%
3	16	< 0.1%
4	18	< 0.1%

Value	Count	Frequency (%)
543252	1	< 0.1%
491235	1	< 0.1%
468163	1	< 0.1%
433992	1	< 0.1%
429168	1	< 0.1%

lyricist
Categorical

HIGH CARDINALITY
MISSING

Distinct	66
Distinct (%)	21.2%
Missing	106263
Missing (%)	99.7%
Memory size	832.7 KiB

Apache Tomcat	44
Wayne Myers	24
Shadow Entity Wizard	19
Wesley Willis	18
Kathleen Martin	14
Other values (61)	192

Length

Max length	32
Median length	13
Mean length	12.89389068
Min length	5

Characters and Unicode

Total characters	4010
Distinct characters	58
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	31 ?
Unique (%)	10.0%

Sample

1st row	David Lineal
2nd row	David Lineal
3rd row	David Lineal
4th row	Jad Fair
5th row	Jad Fair

Value	Count	Frequency (%)
Apache Tomcat	44	< 0.1%
Wayne Myers	24	< 0.1%
Shadow Entity Wizard	19	< 0.1%
Wesley Willis	18	< 0.1%
Kathleen Martin	14	< 0.1%
Eddie Palmer	13	< 0.1%
Yshwa	13	< 0.1%
J Hacha de Zola	11	< 0.1%
Brian Kelly	9	< 0.1%
Allister Thompson	9	< 0.1%
Other values (56)	137	0.1%
(Missing)	106263	99.7%

Histogram of lengths of the category

Value	Count	Frequency (%)
tomcat	44	6.6%
apache	44	6.6%
myers	24	3.6%
wayne	24	3.6%
wesley	19	2.9%
entity	19	2.9%
wizard	19	2.9%
shadow	19	2.9%
willis	18	2.7%
martin	17	2.6%
Other values (122)	419	62.9%

Most occurring characters

Value	Count	Frequency (%)
a	388	9.7%
e	362	9.0%
	358	8.9%
i	245	6.1%
l	204	5.1%
r	201	5.0%
n	193	4.8%
t	181	4.5%
o	166	4.1%
h	162	4.0%
Other values (48)	1550	38.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2972	74.1%
Uppercase Letter	669	16.7%
Space Separator	358	8.9%
Other Punctuation	7	0.2%
Dash Punctuation	2	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
W	90	13.5%
A	86	12.9%
T	61	9.1%
M	56	8.4%
E	49	7.3%
K	40	6.0%
J	33	4.9%
S	33	4.9%
L	24	3.6%
C	24	3.6%
Other values (16)	173	25.9%

Value	Count	Frequency (%)
a	388	13.1%
e	362	12.2%
i	245	8.2%
l	204	6.9%
r	201	6.8%
n	193	6.5%
t	181	6.1%
o	166	5.6%
h	162	5.5%
s	160	5.4%
Other values (15)	710	23.9%

Value	Count	Frequency (%)
/	3	42.9%
.	2	28.6%
,	2	28.6%

Value	Count	Frequency (%)
	358	100.0%

Value	Count	Frequency (%)
-	2	100.0%

Value	Count	Frequency (%)
(	1	100.0%

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3641	90.8%
Common	369	9.2%

Most frequent character per script

Value	Count	Frequency (%)
a	388	10.7%
e	362	9.9%
i	245	6.7%
l	204	5.6%
r	201	5.5%
n	193	5.3%
t	181	5.0%
o	166	4.6%
h	162	4.4%
s	160	4.4%
Other values (41)	1379	37.9%

Value	Count	Frequency (%)
	358	97.0%
/	3	0.8%
-	2	0.5%
.	2	0.5%
,	2	0.5%
(	1	0.3%
)	1	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4010	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	388	9.7%
e	362	9.0%
	358	8.9%
i	245	6.1%
l	204	5.1%
r	201	5.0%
n	193	4.8%
t	181	4.5%
o	166	4.1%
h	162	4.0%
Other values (48)	1550	38.7%

number
Real number (ℝ_≥0)

ZEROS

Distinct	246
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	8.260945446
Minimum	0
Maximum	255
Zeros	7894
Zeros (%)	7.4%
Memory size	832.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	9
95-th percentile	25
Maximum	255
Range	255
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	15.24327144
Coefficient of variation (CV)	1.845221172
Kurtosis	73.08313917
Mean	8.260945446
Median Absolute Deviation (MAD)	3
Skewness	7.046228851
Sum	880402
Variance	232.3573242
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	12419	11.7%
2	11214	10.5%
3	10379	9.7%
4	9551	9.0%
5	8471	7.9%
0	7894	7.4%
6	7269	6.8%
7	6178	5.8%
8	5276	5.0%
9	4442	4.2%
Other values (236)	23481	22.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	7894	7.4%
1	12419	11.7%
2	11214	10.5%
3	10379	9.7%
4	9551	9.0%

Value	Count	Frequency (%)
255	33	< 0.1%
249	1	< 0.1%
248	1	< 0.1%
247	1	< 0.1%
246	1	< 0.1%

publisher
Categorical

HIGH CARDINALITY
MISSING

Distinct	135
Distinct (%)	10.7%
Missing	105311
Missing (%)	98.8%
Memory size	832.7 KiB

Victrola Dog (ASCAP)	465
You've Been a Wonderful Laugh Track (ASCAP)	84
Section 27	73
www.headphonica.com	55
Studio 11	43
Other values (130)	543

Length

Max length	51
Median length	20
Mean length	18.89548694
Min length	3

Characters and Unicode

Total characters	23865
Distinct characters	74
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	81 ?
Unique (%)	6.4%

Sample

1st row	Cherry Red Music (UK)
2nd row	Cherry Red Music (UK)
3rd row	Cherry Red Music (UK)
4th row	Cherry Red Music (UK)
5th row	Cherry Red Music (UK)

Value	Count	Frequency (%)
Victrola Dog (ASCAP)	465	0.4%
You've Been a Wonderful Laugh Track (ASCAP)	84	0.1%
Section 27	73	0.1%
www.headphonica.com	55	0.1%
Studio 11	43	< 0.1%
Toucan Music	32	< 0.1%
Mitoma Industries	32	< 0.1%
Radius	23	< 0.1%
Cherry Red Music (UK)	20	< 0.1%
Andy G. Cohen	19	< 0.1%
Other values (125)	417	0.4%
(Missing)	105311	98.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
ascap	566	16.0%
dog	465	13.2%
victrola	465	13.2%
a	86	2.4%
been	84	2.4%
laugh	84	2.4%
wonderful	84	2.4%
you've	84	2.4%
track	84	2.4%
music	76	2.2%
Other values (204)	1453	41.1%

Most occurring characters

Value	Count	Frequency (%)
	2268	9.5%
o	1897	7.9%
a	1291	5.4%
A	1246	5.2%
i	1168	4.9%
e	1097	4.6%
c	1058	4.4%
r	976	4.1%
t	928	3.9%
l	914	3.8%
Other values (64)	11022	46.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13876	58.1%
Uppercase Letter	5682	23.8%
Space Separator	2268	9.5%
Open Punctuation	596	2.5%
Close Punctuation	596	2.5%
Decimal Number	454	1.9%
Other Punctuation	375	1.6%
Dash Punctuation	18	0.1%

Most frequent character per category

Value	Count	Frequency (%)
o	1897	13.7%
a	1291	9.3%
i	1168	8.4%
e	1097	7.9%
c	1058	7.6%
r	976	7.0%
t	928	6.7%
l	914	6.6%
u	668	4.8%
g	642	4.6%
Other values (17)	3237	23.3%

Value	Count	Frequency (%)
A	1246	21.9%
S	792	13.9%
C	706	12.4%
P	612	10.8%
D	497	8.7%
V	490	8.6%
M	163	2.9%
T	162	2.9%
L	140	2.5%
R	138	2.4%
Other values (15)	736	13.0%

Value	Count	Frequency (%)
1	123	27.1%
2	102	22.5%
7	90	19.8%
8	38	8.4%
3	22	4.8%
5	20	4.4%
4	20	4.4%
0	16	3.5%
6	12	2.6%
9	11	2.4%

Value	Count	Frequency (%)
.	188	50.1%
'	84	22.4%
/	48	12.8%
,	20	5.3%
:	19	5.1%
&	7	1.9%
;	7	1.9%
!	2	0.5%

Value	Count	Frequency (%)
	2268	100.0%

Value	Count	Frequency (%)
(	596	100.0%

Value	Count	Frequency (%)
)	596	100.0%

Value	Count	Frequency (%)
-	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19558	82.0%
Common	4307	18.0%

Most frequent character per script

Value	Count	Frequency (%)
o	1897	9.7%
a	1291	6.6%
A	1246	6.4%
i	1168	6.0%
e	1097	5.6%
c	1058	5.4%
r	976	5.0%
t	928	4.7%
l	914	4.7%
S	792	4.0%
Other values (42)	8191	41.9%

Value	Count	Frequency (%)
	2268	52.7%
(	596	13.8%
)	596	13.8%
.	188	4.4%
1	123	2.9%
2	102	2.4%
7	90	2.1%
'	84	2.0%
/	48	1.1%
8	38	0.9%
Other values (12)	174	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	23862	> 99.9%
None	3	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	2268	9.5%
o	1897	7.9%
a	1291	5.4%
A	1246	5.2%
i	1168	4.9%
e	1097	4.6%
c	1058	4.4%
r	976	4.1%
t	928	3.9%
l	914	3.8%
Other values (62)	11019	46.2%

Value	Count	Frequency (%)
ü	2	66.7%
é	1	33.3%

tags
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	832.7 KiB

title
Categorical

HIGH CARDINALITY

Distinct	94986
Distinct (%)	89.1%
Missing	1
Missing (%)	< 0.1%
Memory size	832.7 KiB

Untitled	298
Into Infinity "ear" loop	150
Intro	115
Interview	92
Chicken and Cheese 2 (Foot Village cover)	49
Other values (94981)	105869

Length

Max length	177
Median length	14
Mean length	17.09052011
Min length	1

Characters and Unicode

Total characters	1821388
Distinct characters	664
Distinct categories	21 ?
Distinct scripts	10 ?
Distinct blocks	21 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	88713 ?
Unique (%)	83.2%

Sample

1st row	Food
2nd row	Electric Ave
3rd row	This World
4th row	Freeway
5th row	Spiritual Level

Value	Count	Frequency (%)
Untitled	298	0.3%
Into Infinity "ear" loop	150	0.1%
Intro	115	0.1%
Interview	92	0.1%
Chicken and Cheese 2 (Foot Village cover)	49	< 0.1%
One Minute For The Stars	36	< 0.1%
jingles, interludes et dimanche minuit	34	< 0.1%
untitled	30	< 0.1%
Title Unknown	29	< 0.1%
[interview]	29	< 0.1%
Other values (94976)	105711	99.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
the	11757	3.7%
of	4699	1.5%
	4608	1.4%
a	3994	1.3%
in	3338	1.0%
to	2399	0.8%
i	2392	0.8%
and	2337	0.7%
you	2165	0.7%
on	1669	0.5%
Other values (61318)	278738	87.6%

Most occurring characters

Value	Count	Frequency (%)
	211992	11.6%
e	162056	8.9%
a	110428	6.1%
o	104061	5.7%
i	98392	5.4%
n	96053	5.3%
t	89571	4.9%
r	89064	4.9%
s	70139	3.9%
l	63421	3.5%
Other values (654)	726211	39.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1251514	68.7%
Uppercase Letter	271681	14.9%
Space Separator	212009	11.6%
Decimal Number	31681	1.7%
Other Punctuation	23638	1.3%
Close Punctuation	11023	0.6%
Open Punctuation	11016	0.6%
Dash Punctuation	6178	0.3%
Connector Punctuation	1266	0.1%
Other Letter	454	< 0.1%
Other values (11)	928	0.1%

Most frequent character per category

Value	Count	Frequency (%)
º	28	6.2%
い	11	2.4%
な	10	2.2%
の	10	2.2%
る	7	1.5%
れ	7	1.5%
ا	7	1.5%
た	6	1.3%
り	6	1.3%
か	5	1.1%
Other values (244)	357	78.6%

Value	Count	Frequency (%)
e	162056	12.9%
a	110428	8.8%
o	104061	8.3%
i	98392	7.9%
n	96053	7.7%
t	89571	7.2%
r	89064	7.1%
s	70139	5.6%
l	63421	5.1%
h	45222	3.6%
Other values (153)	323107	25.8%

Value	Count	Frequency (%)
S	24584	9.0%
T	24009	8.8%
M	16800	6.2%
A	16723	6.2%
I	15954	5.9%
B	15191	5.6%
C	15005	5.5%
D	14143	5.2%
L	12919	4.8%
P	12129	4.5%
Other values (115)	104224	38.4%

Value	Count	Frequency (%)
.	6723	28.4%
'	5700	24.1%
,	3608	15.3%
/	1852	7.8%
:	1231	5.2%
"	954	4.0%
&	921	3.9%
!	877	3.7%
#	614	2.6%
?	572	2.4%
Other values (16)	586	2.5%

Value	Count	Frequency (%)
°	27	29.3%
▲	15	16.3%
△	13	14.1%
№	5	5.4%
™	4	4.3%
☽	4	4.3%
⏄	3	3.3%
☺	3	3.3%
☻	3	3.3%
★	2	2.2%
Other values (11)	13	14.1%

Value	Count	Frequency (%)
+	256	64.6%
=	38	9.6%
\|	31	7.8%
~	26	6.6%
>	18	4.5%
<	8	2.0%
∃	7	1.8%
¬	2	0.5%
→	2	0.5%
∞	2	0.5%
Other values (5)	6	1.5%

Value	Count	Frequency (%)
́	107	56.6%
̈	23	12.2%
̀	16	8.5%
̶	12	6.3%
̂	8	4.2%
̃	7	3.7%
̧	6	3.2%
̌	3	1.6%
̊	3	1.6%
̄	2	1.1%
Other values (2)	2	1.1%

Value	Count	Frequency (%)
1	6652	21.0%
0	6615	20.9%
2	5182	16.4%
3	2918	9.2%
4	2180	6.9%
5	1901	6.0%
6	1765	5.6%
9	1600	5.1%
7	1496	4.7%
8	1372	4.3%

Value	Count	Frequency (%)
	4	30.8%
	2	15.4%
	2	15.4%
	2	15.4%
	1	7.7%
	1	7.7%
	1	7.7%

Value	Count	Frequency (%)
(	9986	90.6%
[	959	8.7%
{	70	0.6%
『	1	< 0.1%

Value	Count	Frequency (%)
)	9984	90.6%
]	964	8.7%
}	74	0.7%
』	1	< 0.1%

Value	Count	Frequency (%)
´	42	53.2%
^	19	24.1%
`	12	15.2%
¨	6	7.6%

Value	Count	Frequency (%)
	211992	> 99.9%
	16	< 0.1%
	1	< 0.1%

Value	Count	Frequency (%)
-	6160	99.7%
—	15	0.2%
–	3	< 0.1%

Value	Count	Frequency (%)
$	23	65.7%
¤	9	25.7%
£	3	8.6%

Value	Count	Frequency (%)
’	54	84.4%
”	10	15.6%

Value	Count	Frequency (%)
“	11	64.7%
‘	6	35.3%

Value	Count	Frequency (%)
	29	87.9%
	4	12.1%

Value	Count	Frequency (%)
²	2	66.7%
³	1	33.3%

Value	Count	Frequency (%)
_	1266	100.0%

Value	Count	Frequency (%)
ー	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1511511	83.0%
Common	297552	16.3%
Cyrillic	11266	0.6%
Greek	444	< 0.1%
Inherited	189	< 0.1%
Han	180	< 0.1%
Hiragana	139	< 0.1%
Katakana	69	< 0.1%
Arabic	26	< 0.1%
Hebrew	12	< 0.1%

Most frequent character per script

Value	Count	Frequency (%)
e	162056	10.7%
a	110428	7.3%
o	104061	6.9%
i	98392	6.5%
n	96053	6.4%
t	89571	5.9%
r	89064	5.9%
s	70139	4.6%
l	63421	4.2%
h	45222	3.0%
Other values (153)	583104	38.6%

Value	Count	Frequency (%)
見	4	2.2%
中	3	1.7%
音	2	1.1%
場	2	1.1%
空	2	1.1%
怖	2	1.1%
夢	2	1.1%
出	2	1.1%
夜	2	1.1%
街	2	1.1%
Other values (138)	157	87.2%

Value	Count	Frequency (%)
	211992	71.2%
(	9986	3.4%
)	9984	3.4%
.	6723	2.3%
1	6652	2.2%
0	6615	2.2%
-	6160	2.1%
'	5700	1.9%
2	5182	1.7%
,	3608	1.2%
Other values (101)	24950	8.4%

Value	Count	Frequency (%)
о	997	8.8%
а	940	8.3%
и	871	7.7%
е	789	7.0%
н	645	5.7%
т	582	5.2%
р	550	4.9%
с	463	4.1%
л	411	3.6%
в	401	3.6%
Other values (58)	4617	41.0%

Value	Count	Frequency (%)
α	49	11.0%
ο	39	8.8%
ε	32	7.2%
ι	30	6.8%
ν	28	6.3%
τ	26	5.9%
υ	23	5.2%
σ	21	4.7%
ς	17	3.8%
ρ	17	3.8%
Other values (47)	162	36.5%

Value	Count	Frequency (%)
い	11	7.9%
な	10	7.2%
の	10	7.2%
る	7	5.0%
れ	7	5.0%
た	6	4.3%
り	6	4.3%
か	5	3.6%
て	5	3.6%
き	4	2.9%
Other values (33)	68	48.9%

Value	Count	Frequency (%)
レ	4	5.8%
ン	4	5.8%
ト	4	5.8%
ラ	4	5.8%
ノ	3	4.3%
タ	3	4.3%
ウ	3	4.3%
ド	3	4.3%
プ	2	2.9%
ス	2	2.9%
Other values (27)	37	53.6%

Value	Count	Frequency (%)
ا	7	26.9%
ل	5	19.2%
و	2	7.7%
ق	1	3.8%
ذ	1	3.8%
ف	1	3.8%
ي	1	3.8%
م	1	3.8%
ز	1	3.8%
ن	1	3.8%
Other values (5)	5	19.2%

Value	Count	Frequency (%)
́	107	56.6%
̈	23	12.2%
̀	16	8.5%
̶	12	6.3%
̂	8	4.2%
̃	7	3.7%
̧	6	3.2%
̌	3	1.6%
̊	3	1.6%
̄	2	1.1%
Other values (2)	2	1.1%

Value	Count	Frequency (%)
ש	2	16.7%
ב	2	16.7%
ז	1	8.3%
מ	1	8.3%
ן	1	8.3%
ע	1	8.3%
ו	1	8.3%
ר	1	8.3%
ל	1	8.3%
א	1	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1805428	99.1%
Cyrillic	11266	0.6%
None	3826	0.2%
Diacriticals	188	< 0.1%
CJK	180	< 0.1%
Punctuation	155	< 0.1%
Hiragana	139	< 0.1%
Katakana	76	< 0.1%
Geometric Shapes	31	< 0.1%
Arabic	27	< 0.1%
Other values (11)	72	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	211992	11.7%
e	162056	9.0%
a	110428	6.1%
o	104061	5.8%
i	98392	5.4%
n	96053	5.3%
t	89571	5.0%
r	89064	4.9%
s	70139	3.9%
l	63421	3.5%
Other values (86)	710251	39.3%

Value	Count	Frequency (%)
é	920	24.0%
ä	201	5.3%
ó	178	4.7%
á	167	4.4%
è	157	4.1%
ö	136	3.6%
í	126	3.3%
à	108	2.8%
ü	105	2.7%
ê	85	2.2%
Other values (175)	1643	42.9%

Value	Count	Frequency (%)
́	107	56.9%
̈	23	12.2%
̀	16	8.5%
̶	12	6.4%
̂	8	4.3%
̃	7	3.7%
̧	6	3.2%
̌	3	1.6%
̊	3	1.6%
̄	2	1.1%

Value	Count	Frequency (%)
’	54	34.8%
	29	18.7%
—	15	9.7%
“	11	7.1%
”	10	6.5%
•	9	5.8%
‘	6	3.9%
†	5	3.2%
′	4	2.6%
″	4	2.6%
Other values (3)	8	5.2%

Value	Count	Frequency (%)
о	997	8.8%
а	940	8.3%
и	871	7.7%
е	789	7.0%
н	645	5.7%
т	582	5.2%
р	550	4.9%
с	463	4.1%
л	411	3.6%
в	401	3.6%
Other values (58)	4617	41.0%

Value	Count	Frequency (%)
№	5	55.6%
™	4	44.4%

Value	Count	Frequency (%)
ệ	1	100.0%

Value	Count	Frequency (%)
ー	7	9.2%
レ	4	5.3%
ン	4	5.3%
ト	4	5.3%
ラ	4	5.3%
ノ	3	3.9%
タ	3	3.9%
ウ	3	3.9%
ド	3	3.9%
プ	2	2.6%
Other values (28)	39	51.3%

Value	Count	Frequency (%)
い	11	7.9%
な	10	7.2%
の	10	7.2%
る	7	5.0%
れ	7	5.0%
た	6	4.3%
り	6	4.3%
か	5	3.6%
て	5	3.6%
き	4	2.9%
Other values (33)	68	48.9%

Value	Count	Frequency (%)
見	4	2.2%
中	3	1.7%
音	2	1.1%
場	2	1.1%
空	2	1.1%
怖	2	1.1%
夢	2	1.1%
出	2	1.1%
夜	2	1.1%
街	2	1.1%
Other values (138)	157	87.2%

Value	Count	Frequency (%)
☽	4	22.2%
☺	3	16.7%
☻	3	16.7%
★	2	11.1%
♥	2	11.1%
☆	1	5.6%
☮	1	5.6%
☾	1	5.6%
☯	1	5.6%

Value	Count	Frequency (%)
▲	15	48.4%
△	13	41.9%
◊	1	3.2%
◿	1	3.2%
◺	1	3.2%

Value	Count	Frequency (%)
ש	2	16.7%
ב	2	16.7%
ז	1	8.3%
מ	1	8.3%
ן	1	8.3%
ע	1	8.3%
ו	1	8.3%
ר	1	8.3%
ל	1	8.3%
א	1	8.3%

Value	Count	Frequency (%)
ا	7	25.9%
ل	5	18.5%
و	2	7.4%
ق	1	3.7%
ذ	1	3.7%
ف	1	3.7%
ي	1	3.7%
ٔ	1	3.7%
م	1	3.7%
ز	1	3.7%
Other values (6)	6	22.2%

Value	Count	Frequency (%)
Ᾰ	2	28.6%
ἐ	1	14.3%
ῖ	1	14.3%
Ῠ	1	14.3%
Ἠ	1	14.3%
Ὶ	1	14.3%

Value	Count	Frequency (%)
→	2	100.0%

Value	Count	Frequency (%)
ɱ	2	40.0%
ə	1	20.0%
ʛ	1	20.0%
ɫ	1	20.0%

Value	Count	Frequency (%)
∃	7	63.6%
∞	2	18.2%
∆	1	9.1%
∑	1	9.1%

Value	Count	Frequency (%)
ᴚ	1	100.0%

Value	Count	Frequency (%)
⏄	3	75.0%
⌚	1	25.0%

Value	Count	Frequency (%)
✞	2	100.0%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	track_id	bit_rate	composer	date_created	date_recorded	duration	favorites	genre_top	genres	genres_all	information	interest	language_code	license	listens	lyricist	number	publisher	tags	title
0	2	256000	NaN	2008-11-26 01:48:12	2008-11-26	168	2	Hip-Hop	[21]	[21]	NaN	4656	en	Attribution-NonCommercial-ShareAlike 3.0 International	1293	NaN	3	NaN	[]	Food
1	3	256000	NaN	2008-11-26 01:48:14	2008-11-26	237	1	Hip-Hop	[21]	[21]	NaN	1470	en	Attribution-NonCommercial-ShareAlike 3.0 International	514	NaN	4	NaN	[]	Electric Ave
2	5	256000	NaN	2008-11-26 01:48:20	2008-11-26	206	6	Hip-Hop	[21]	[21]	NaN	1933	en	Attribution-NonCommercial-ShareAlike 3.0 International	1151	NaN	6	NaN	[]	This World
3	10	192000	Kurt Vile	2008-11-25 17:49:06	2008-11-26	161	178	Pop	[10]	[10]	NaN	54881	en	Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International	50135	NaN	1	NaN	[]	Freeway
4	20	256000	NaN	2008-11-26 01:48:56	2008-01-01	311	0	NaN	[76, 103]	[17, 10, 76, 103]	NaN	978	en	Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International	361	NaN	3	NaN	[]	Spiritual Level
5	26	256000	NaN	2008-11-26 01:49:05	2008-01-01	181	0	NaN	[76, 103]	[17, 10, 76, 103]	NaN	1060	en	Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International	193	NaN	4	NaN	[]	Where is your Love?
6	30	256000	NaN	2008-11-26 01:49:11	2008-01-01	174	0	NaN	[76, 103]	[17, 10, 76, 103]	NaN	718	en	Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International	612	NaN	5	NaN	[]	Too Happy
7	46	256000	NaN	2008-11-26 01:49:53	2008-01-01	104	0	NaN	[76, 103]	[17, 10, 76, 103]	NaN	252	en	Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International	171	NaN	8	NaN	[]	Yosemite
8	48	256000	NaN	2008-11-26 01:49:56	2008-01-01	205	0	NaN	[76, 103]	[17, 10, 76, 103]	NaN	247	en	Attribution-NonCommercial-NoDerivatives (aka Music Sharing) 3.0 International	173	NaN	9	NaN	[]	Light of Light
9	134	256000	NaN	2008-11-26 01:43:19	2008-11-26	207	3	Hip-Hop	[21]	[21]	NaN	1126	en	Attribution-NonCommercial-ShareAlike 3.0 International	943	NaN	5	NaN	[]	Street Music

Last rows

	track_id	bit_rate	composer	date_created	date_recorded	duration	favorites	genre_top	genres	genres_all	information	interest	language_code	license	listens	lyricist	number	publisher	tags	title
106564	155310	320000	NaN	2017-03-30 12:53:22	NaT	726	0	Experimental	[1]	[1, 38]	NaN	94	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	84	NaN	4	NaN	[]	Raman Abhishek
106565	155311	320000	NaN	2017-03-30 12:53:24	NaT	539	0	Experimental	[1]	[1, 38]	NaN	187	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	171	NaN	5	NaN	[]	Na Potehu Telu
106566	155312	320000	NaN	2017-03-30 12:53:25	NaT	527	0	Experimental	[1]	[1, 38]	NaN	230	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	219	NaN	6	NaN	[]	Koza-Korova
106567	155314	320000	NaN	2017-03-30 15:23:31	NaT	177	0	Rock	[25]	[25, 12]	NaN	778	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	652	NaN	2	NaN	[]	Miracle Grow
106568	155315	320000	NaN	2017-03-30 15:23:33	NaT	38	1	Rock	[25]	[25, 12]	NaN	153	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	128	NaN	1	NaN	[]	Space Power Over-Watch Destroying Evil Rats
106569	155316	320000	NaN	2017-03-30 15:23:34	NaT	162	1	Rock	[25]	[25, 12]	NaN	122	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	102	NaN	3	NaN	[]	The Auger
106570	155317	320000	NaN	2017-03-30 15:23:36	NaT	217	1	Rock	[25]	[25, 12]	NaN	194	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	165	NaN	4	NaN	[]	Let's Skin Ruby
106571	155318	320000	NaN	2017-03-30 15:23:37	NaT	404	2	Rock	[25]	[25, 12]	NaN	214	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	168	NaN	6	NaN	[]	My House Smells Like Kim Deal/Pulp
106572	155319	320000	NaN	2017-03-30 15:23:39	NaT	146	0	Rock	[25]	[25, 12]	NaN	336	NaN	Creative Commons Attribution-NonCommercial-NoDerivatives 4.0	294	NaN	5	NaN	[]	The Man With Two Mouths
106573	155320	320000	NaN	2017-03-30 09:15:36	NaT	198	1	NaN	[10, 12, 169]	[169, 10, 12, 9]	NaN	972	NaN	Attribution-NonCommercial	705	NaN	7	NaN	[ballad, epic, rockabilly, curse, hex, hard rock, cauldron, witches, creepy, black cats]	Another Trick Up My Sleeve (Instrumental)

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows